Lead Data Scientist
4 weeks ago
We are seeking a highly skilled and experienced Lead Data Scientist to join our team at Aviva. As a key member of our data science team, you will play a vital role in advancing automation by contributing to the development and deployment of machine learning models.
About the RoleIn this role, you will work closely with cross-functional teams to understand their specific data science needs and provide expert guidance on model design and controls. You will also be responsible for designing and executing control mechanisms for models, enhancing their reliability and robustness.
Key Responsibilities- Develop and deploy machine learning models to support various functions such as trading strategies, risk-based costing, medical underwriting, and operational efficiency.
- Collaborate with cross-functional teams to understand their data science needs and provide expert guidance on model design and controls.
- Design and execute control mechanisms for models to enhance their reliability and robustness.
- Provide technical mentorship to colleagues and foster a culture of learning and continuous improvement within our data science practices.
We offer a competitive salary between £40,000 - £60,000, depending on location, skills, experience, and qualifications. You will also have the opportunity to earn a bonus of up to 10% of your annual salary, based on performance and Aviva's results.
We have a generous pension scheme, with Aviva contributing up to 14% of your salary. You will also receive 29 days of holiday, plus bank holidays, and the option to buy or sell up to 5 days. Additionally, you will have access to a range of benefits, including discounts on Aviva products and services, and the opportunity to participate in our Matching Share Plan and Save As You Earn scheme.
We are committed to creating a diverse and inclusive workplace, and we welcome applications from all backgrounds and experiences. We offer flexible working arrangements, including part-time and job share options, and we are happy to consider applications from candidates who may not meet every qualification or requirement listed in the job description.
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